Aya Ebihara

1.1k citations
30 papers · 904 · h-index 10

Impact in

Papers in

Aya Ebihara

28 papers receiving 883 citations

Peers

Aya Ebihara
Comparison fields: 5 of 76
  • Clinical Biochemistry 145
  • Cellular and Molecular Neuroscience 354
  • Cardiology and Cardiovascular Medicine 243
  • Psychiatry and Mental health 79
  • Endocrinology, Diabetes and Metabolism 81
Replace Safia N. Ogbi with:
Safia N. Ogbi United States
Michiaki Okumura Japan
Spencer C. Yost United States
Randi J. Parks United States
Takao Hanehira Japan
Zensuke Ota Japan
Hideaki Nakatsuji Japan
Katharina Völker Germany
Mitsuhisa Koga Japan
Aya Ebihara relative to Safia N. Ogbi United States Safia N. Ogbi's profile →
Citations per field
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Safia N. Ogbi · 1×
Citations per year

Countries citing papers authored by Aya Ebihara

Since Specialization
Citations

This map shows the geographic impact of Aya Ebihara's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Aya Ebihara with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aya Ebihara more than expected).

Fields of papers citing papers by Aya Ebihara

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Aya Ebihara. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Aya Ebihara. The network helps show where Aya Ebihara may publish in the future.

Co-authors

The 25 scholars most cited alongside Aya Ebihara, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Aya Ebihara Line = papers co-authored together Aya Ebihara links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001244
2 2000164
3 2004106
4 200493
5 201163
6 200046
7 201346
8 200327
9 201417
10 201115
11 201110
12 201510
13 20079
14 20148
15 20218
16 20066
17 20016
18 20176
19 20085
20 20003

About Aya Ebihara

Aya Ebihara is a scholar working on Cardiology and Cardiovascular Medicine, Cellular and Molecular Neuroscience, Internal Medicine, Pulmonary and Respiratory Medicine and Surgery, having authored 30 papers that have together received 904 indexed citations. Recurring topics across this work include Cardiovascular Function and Risk Factors (8 papers), Cardiac Valve Diseases and Treatments (5 papers), Neuropeptides and Animal Physiology (4 papers), Chemotherapy-induced cardiotoxicity and mitigation (3 papers), Infective Endocarditis Diagnosis and Management (3 papers), Cardiomyopathy and Myosin Studies (3 papers), Cardiac Structural Anomalies and Repair (3 papers) and Cardiovascular Effects of Exercise (2 papers). The work is most often cited by research in Clinical Biochemistry (145 citations), Cellular and Molecular Neuroscience (354 citations), Cardiology and Cardiovascular Medicine (243 citations), Psychiatry and Mental health (79 citations) and Endocrinology, Diabetes and Metabolism (81 citations). Aya Ebihara has collaborated with scholars based in Japan, Australia and China. Frequent co-authors include Takayuki Shindo, Ryozo Nagai, Takao Sugiyama, Hiroshi Iwata, Pei Lu Niu, Satoshi Iimuro, Yuelan Zhang, Norifumi Takeda, Hiroyuki Morita and Yasushi Imai. Their work appears in journals such as Hypertension Research, International Journal of Cardiology, Circulation, Journal of the American Society of Echocardiography and Circulation Research.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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